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Automatic Number Plate Recognition

机译:自动车牌识别

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Automatic Number Plate Recognition (ANPR) is a mass surveillance system that captures the image of vehicles and recognizes their license number. ANPR can be assisted in the detection of stolen vehicles. The detection of stolen vehicles can be done in an efficient manner by using the ANPR systems located in the highways. This paper presents a recognition method in which the vehicle plate image is obtained by the digital cameras and the image is processed to get the number plate information. A rear image of a vehicle is captured and processed using various algorithms. In this context, the number plate area is localized using a novel „feature-based number plate localizationa?? method which consists of many algorithms. But our study mainly focusing on the two fast algorithms i.e., Edge Finding Method and Window Filtering Method for the better development of the number plate detection system.
机译:自动车牌识别(ANPR)是一种大规模监视系统,可捕获车辆图像并识别其牌照号码。 ANPR可以协助检测被盗车辆。通过使用位于高速公路上的ANPR系统,可以有效地检测被盗车辆。本文提出了一种识别方法,其中通过数码相机获取车牌图像,并对图像进行处理以获得车牌信息。使用各种算法捕获并处理车辆的后方图像。在这种情况下,使用新颖的“基于功能的车牌定位a”来定位车牌区域。该方法由许多算法组成。但是我们的研究主要集中在两种快速算法上,即边缘查找法和窗口滤波法,以更好地开发车牌检测系统。

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